no code implementations • 22 Mar 2024 • Aqeel Anwar, Tae Eun Choe, Zian Wang, Sanja Fidler, Minwoo Park
The resulting augmented multi-view consistent dataset is used to train a multi-camera perception network for autonomous vehicles.
no code implementations • 14 Mar 2023 • Tae Eun Choe, Jane Wu, Xiaolin Lin, Karen Kwon, Minwoo Park
We present an algorithm to detect unseen road debris using a small set of synthetic models.
1 code implementation • ECCV 2020 • Yuliang Guo, Guang Chen, Peitao Zhao, Weide Zhang, Jinghao Miao, Jingao Wang, Tae Eun Choe
The method, inspired by the latest state-of-the-art 3D-LaneNet, is a unified framework solving image encoding, spatial transform of features and 3D lane prediction in a single network.
Ranked #8 on 3D Lane Detection on Apollo Synthetic 3D Lane
no code implementations • 1 Nov 2014 • Atul Kanaujia, Tae Eun Choe, Hongli Deng
Automated extraction of semantic information from a network of sensors for cognitive analysis and human-like reasoning is a desired capability in future ground surveillance systems.
no code implementations • 29 Aug 2013 • Kewei Tu, Meng Meng, Mun Wai Lee, Tae Eun Choe, Song-Chun Zhu
We present a probabilistic generative model for joint parsing that captures the relations between the input video/text, their corresponding parse graphs and the joint parse graph.